Online MSc in Data Science - SSODL
The Online Master of Science in Data Science from Symbiosis School for Online and Digital Learning (SSODL) delivers a comprehensive education in data science fundamentals, advanced analytics, and practical applications. This 2-year program combines statistical foundations with cutting-edge technologies, preparing professionals for data-driven decision making. The curriculum, developed by leading Symbiosis experts, ensures hands-on learning through Python programming, machine learning algorithms, and big data analytics.
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Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 1,40,000
Overview
The MSc in Data Science program from SSODL provides comprehensive training in data science fundamentals, advanced analytics, and practical applications. This UGC-entitled and AICTE-approved program combines theoretical knowledge with hands-on experience across statistical computing, machine learning, big data analytics, and artificial intelligence. The program's online delivery format allows working professionals to enhance their skills without career interruption.
Why MSc (Master of Science)?
This program stands out for its industry-aligned curriculum, expert faculty from Symbiosis, and flexible learning approach. The combination of live sessions, recorded content, and practical projects ensures thorough understanding of data science concepts. Students benefit from Symbiosis's five-decade legacy in quality education and access to comprehensive digital learning resources.
What does this course have to offer?
Key Highlights
100% Online learning format
UGC entitled and AICTE approved
24x7 Learning Management System access
Curriculum by top Symbiosis experts
Recorded sessions for flexible learning
Live faculty interactions
Peer learning opportunities
Who is this programme for?
Data science professionals seeking advanced skills
IT professionals transitioning to data science
Analytics professionals wanting formal education
Working professionals needing flexible learning options
Minimum Eligibility
Bachelor degree in any discipline from a recognized University/Institution
Graduates of recognized professional programmes like CA/ICWA are eligible
Minimum 50% marks in qualifying degree
Who is the programme for?
The program follows a semester-based system with continuous evaluation. Admission requires a bachelor's degree with 50% marks. The curriculum combines core courses with specialized electives across four semesters. Assessment includes assignments, projects, and online examinations following UGC guidelines.
Selection process
How to apply?
Curriculum
The curriculum spans statistical foundations, programming, machine learning, and advanced analytics. Core courses build fundamental knowledge while electives allow specialization. The program emphasizes practical application through hands-on projects and case studies.
There are 4 semesters in this course
The program structure includes four semesters covering foundational and advanced topics. Semester 1 focuses on statistical computing, research methods, and data management. Semester 2 covers machine learning, text analytics, and data mining. Semester 3 introduces deep learning and specialized electives. The final semester includes time series analysis and a capstone project.
Semester 1
Semester 2
Semester 3
Semester 4
Programme Length
The program duration is 24 months, delivered completely online with no campus visits required. Students can access learning materials 24/7 through the Learning Management System.
Tuition Fee
The total program fee is INR 1,40,000, payable in four semester-wise installments. Application fee is INR 750. EMI options are available for flexible payment.
Fee Structure
Payment options
Learning Experience
The program delivers education through a blend of live online sessions and self-paced learning. Students have access to recorded lectures, interactive sessions with faculty, and peer discussion forums. The Learning Management System provides 24/7 access to study materials and resources.
University Experience
Students experience Symbiosis's quality education through a comprehensive digital platform. The program offers networking opportunities with peers and industry experts. While completely online, students benefit from Symbiosis's five-decade legacy and expertise in higher education.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established in 2023 as part of Symbiosis International University, SSODL is a pioneering institution for online education located in Pune, India. The school specializes in providing flexible online education to working professionals, remote learners, and international students across diverse disciplines including Business Administration, Information Technology, and Data Science. SSODL focuses on delivering industry-relevant curriculum that balances theoretical knowledge with practical applications.
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Programs Offered
A
NAAC Grade
3
Undergraduate Programs
Affiliation & Recognition
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All India Council for Technical Education
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University Grants Commission
Distance Education Bureau
Career services
The institution provides comprehensive career development support through industry partnerships and placement assistance. Students benefit from career guidance, professional development programs, and recruitment opportunities. The placement cell organizes pre-placement talks and conducts sessions to prepare students for corporate requirements. The institution maintains strong connections with leading employers across various sectors.
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 1,40,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.